Abstract: Aiming at the frequent delays in construction progress and the rough allocation of resources in distribution network construction under complex conditions, this paper proposes a collaborative intelligent optimization method for progress and resources. Firstly, the types of complex conditions are quantitatively defined, and a construction period estimation model considering the disturbance of conditions is established. Secondly, a three-objective optimization mathematical model with the shortest construction period, the smallest peak-valley difference of resources, and the lowest cost as the goals is constructed, and an improved genetic algorithm with an adaptive crossover strategy is designed for solving. Finally, a 10kV distribution network cable renovation project in a certain city is taken as an example for verification. The results show that the proposed method shortens the construction period by 14.3% and reduces the peak-valley difference of resources by 21.6% compared with the traditional CPM method, demonstrating good engineering application value.